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| （2位用户的4个中间修订版本未显示） |
| 第6行： |
第6行： |
| | |Xiaofei Kang | | |Xiaofei Kang |
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| − | * | + | * Finish the Speaker Recognition experiment：mouth with candy, normal chat |
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| − | * | + | * Understand all the scripts of the Speaker Recognition experiment, and then learn to modify it. |
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| 第48行： |
第48行： |
| | |Yixiang Chen | | |Yixiang Chen |
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| − | * check paper
| |
| | * plot tsne picture for 863 & fisher-5000 data set | | * plot tsne picture for 863 & fisher-5000 data set |
| | * find why performance of wisper better than performance of chat | | * find why performance of wisper better than performance of chat |
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| − | * | + | * check data and paper |
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| 第58行： |
第57行： |
| | |Lantian Li | | |Lantian Li |
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| − | * | + | * T-sne plot for speaker segmentation preparation [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e2/Spk_seg.pdf]. |
| | + | * check TASLP and NIPS paper. |
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| − | * | + | * deep spk recipe. |
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| Date |
People |
Last Week |
This Week
|
| 2017.7.31
|
Xiaofei Kang
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- Finish the Speaker Recognition experiment：mouth with candy, normal chat
|
- Understand all the scripts of the Speaker Recognition experiment, and then learn to modify it.
|
| Miao Zhang
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- finish the experiments on five kinds of speech
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- optimize the vad parameter to improve the performance
- finish the new human test website
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| Yanqing Wang
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- retraining task: experiments are in progress, some time needed.
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- all experiments should be done.
- TRP of retraining task.
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| Ying Shi
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- apply mongodb and ajax on the data checking website
- with mongodb we are not depend on file lock anymore
- there is no need to save web state(except some cookie) after employ ajax
- continue to learn crawler
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- setup server for m2asr (use sheep02)
- design crawler program
|
| Yixiang Chen
|
- plot tsne picture for 863 & fisher-5000 data set
- find why performance of wisper better than performance of chat
|
|
| Lantian Li
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- T-sne plot for speaker segmentation preparation [1].
- check TASLP and NIPS paper.
|
|
| Zhiyuan Tang
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- Updated the auto-scoring system with the newest version of Kaldi. Several patches need to be repaired.
- Kaldi book writing.
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- Initial version of auto-scoring system.
- Kaldi book writing.
|
| Date |
People |
Last Week |
This Week
|
| 2017.7.24
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Xiaofei Kang
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- Prepare the data set of Speaker Recognition : pick out whisper
- Learn the the nnet3 model, run the nnet3 experiment
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- Learn the Speaker Recognition model, run the Speaker Recognition experiment
|
| Miao Zhang
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- joined a meeting in Chinese Academy of Social Sciences
- worked out a recording plan
- learnt kaldi and did experiments
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- test performances on 12 kinds of voices we have
|
| Hui Tang
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- help jiayin to configure dnn and lstm in kaldi
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- left for postgraduate life
|
| Yanqing Wang
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- change the source code of Kaldi to implement retraining ( with zero value fixed )
- start to write a technical report of pruning the neural network ( not finished )
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- finish the retraining task
- finish the technical report
|
| Ying Shi
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- data checking website
- learn how to write a crawler program
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- write a more general crawler
- realign kazak train and test data with transfer learning model
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| Yixiang Chen
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- use wisper audio for speaker recognition
- joined a meeting in Chinese Academy of Social Sciences
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- test performances on 12 kinds of voices
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| Lantian Li
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- deepspk on TASLP.
- speaker segmentation.
|
|
| Zhiyuan Tang
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- Replaced ATLAS lib with MKL lib for compiling auto-scoring system.
- Kaldi book writing.
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- A basic demo for auto-scoring system.
- Kaldi book writing.
|
